RNOtherThe science of diabetes self-management and care2025

Chronic Illness Self-Management Latent Profiles in Individuals With Comorbid Type 2 Diabetes and Hypertension.

Donghwan Lee, Qing Yang, Matthew J Crowley and 4 others

PMID 40370006

WHAT IT FOUND

Distinct self-management profiles emerged in adults with diabetes and hypertension.

The high-distress group had the highest A1C, while high self-efficacy and high health knowledge groups had similar A1C.

Key findings

01Distinct self-management profiles were identified, including high distress, high health knowledge, and high self-efficacy.

02The high-distress profile had the highest A1C and the lowest self-efficacy and perceived self-care.

03Higher household income was associated with lower odds of being in the high-distress profile compared with the high-health-knowledge profile.

STILL TO COME

How it was doneWhat they foundWhat it means for RNs

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What it does not show

The study used baseline data only and cannot show that profile membership causes outcomes. Participants came from one trial in North Carolina, so the findings may not apply to other populations. Latent profile analysis assigns participants probabilistically, so some may be placed in the wrong profile. The model emphasizes individual characteristics and does not fully capture social and structural barriers. The paper does not test a treatment or intervention.

Declared interests

The authors reported no conflicts of interest. The paper is listed as supported by NIH extramural research.

The easy way to misread this

Do not conclude that self-efficacy improves A1C. This was a baseline cross-sectional analysis, and the high-self-efficacy profile had low health literacy and disease knowledge while having similar A1C to the high-health-knowledge profile.

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